Knowledge Commons of Institute of Automation,CAS
Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control | |
Qiao, Hong1; Li, Chuan1; Yin, Peijie2; Wu, Wei1; Liu, Zhi-Yong1 | |
发表期刊 | ASSEMBLY AUTOMATION |
2016 | |
卷号 | 36期号:1页码:97-107 |
文章类型 | Article |
摘要 | Purpose - Human movement system is a Multi-DOF, redundant, complex and nonlinear system formed by coordinating combination of neural system, bones, muscles and joints, which is robust and has fast response and learning ability. Imitating human movement system can improve robustness, fast response and learning ability of the robots. |
关键词 | Learning Ability Dynamic Simulation Fast Response Ability High Precision Muscle-skeleton Simulation |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1108/AA-11-2015-099 |
关键词[WOS] | COMPUTED MUSCLE CONTROL ; DYNAMIC SIMULATIONS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61210009 ; 31200829) |
WOS研究方向 | Automation & Control Systems ; Engineering |
WOS类目 | Automation & Control Systems ; Engineering, Manufacturing |
WOS记录号 | WOS:000373372000010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12197 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
通讯作者 | Qiao, Hong |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Appl Math, Beijing, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Qiao, Hong,Li, Chuan,Yin, Peijie,et al. Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control[J]. ASSEMBLY AUTOMATION,2016,36(1):97-107. |
APA | Qiao, Hong,Li, Chuan,Yin, Peijie,Wu, Wei,&Liu, Zhi-Yong.(2016).Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control.ASSEMBLY AUTOMATION,36(1),97-107. |
MLA | Qiao, Hong,et al."Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control".ASSEMBLY AUTOMATION 36.1(2016):97-107. |
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